551 to 575 of 674 Permanent Databricks Jobs

Senior Data Platform Engineer You’ll help build the backbone of DraftKings’ machine learning capabilities. You’ll design, scale, and operate the Databricks and cloud infrastructure that powers automated, reproducible ML workflows across our business. This role blends platform ownership with deep infrastructure engineering – working shoulder to shoulder with Data … systems that enable data‐driven decision‐making at scale. What you’ll do as a Senior Data Platform Engineer Own and operate our Databricks infrastructure to ensure performance, reliability, and cost‐efficiency. Build and manage cloud infrastructure using AWS and infrastructure‐as‐code tools like Terraform. Architect and document scalable ...

Enterprise Data organisation, this role leads the engineering of cloud-native data services for the firm’s strategic platform, driving the migration to Databricks and delivering scalable Spark/Scala solutions on AWS.The overall objective of this role is to lead applications systems analysis and programming activities. Proven leadership … processing, advances matching engines, AI/GenAI services and large-scale data platforms. This role will drive transformation of enterprise data capabilities using Databricks, scala/spark and cloud native architectures, ensuring platform is stable, scalable, resilient, secure and AI enabled.* As platform landscape evolved towards cloud-native, AI enabled ...

Senior Quantexa Data Engineer - Manchester/Hybrid (Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer) Our client is a global innovator and world leader with … your CV to Nathan Warner at Noir Consulting. (Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer) NOIRUKTECHREC NOIRUKREC ...

Senior Quantexa Data Engineer - Birmingham/Hybrid (Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer) Our client is a global innovator and world leader with … your CV to Nathan Warner at Noir Consulting. (Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer) NOIRUKTECHREC NOIRUKREC ...

Senior Quantexa Data Engineer - Leeds/Hybrid (Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer) Our client is a global innovator and world leader with … your CV to Nathan Warner at Noir Consulting. (Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer) NOIRUKTECHREC NOIRUKREC ...

Senior Quantexa Data Engineer - London/Hybrid (Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer) Our client is a global innovator and world leader with … your CV to Nathan Warner at Noir Consulting. (Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer) NOIRUKTECHREC NOIRUKREC ...

greater reliability before evolving towards a more federated, domain-led operating model. You’ll also own the roadmap for the wider data ecosystem, with Databricks at the heart of the target architecture, alongside Power BI and Looker, while driving the rationalisation of legacy platforms and reporting. Key areas of focusL … large, complex organisation. You’ll ideally bring: Experience owning enterprise data platforms and engineering at scale Strong knowledge of modern cloud data environment. Databricks experience would be particularly relevant A track record of improving data governance, quality, lineage and stewardship Experience building data product and self-service analytics capabilities Leadership ...

diverse team! Aufgaben Collaborate with data scientists, analysts, and product owners to build reliable, maintainable pipelines and products Design, build, and operate Databricks pipelines using Python, Lakeflow Declarative Pipelines, and Jobs/Workflows Use Azure Data Factory for ingestion/orchestration; integrate and optimize SQL/NoSQL databases Ensure pipeline … documentation for group-wide use Profil Degree in Computer Science, Software Engineering, Data Engineering/Data Science, or equivalent experience Hands-on with Databricks (Python, Spark SQL, Lakehouse), Declarative Pipelines, and Jobs/Workflows Experience with Azure Data Factory, data modeling, performance tuning, and production data systems DataOps mindset: versioning ...

Product Owners, architects, engineers and business SMEs; comfortable shaping acceptance criteria, priorities, value measures and handover into production.* Practical exposure to Azure data services, Databricks, SQL, Python/Spark, event-based integration and DevOps practices; hands-on engineering experience is beneficial.* Degree in a relevant discipline or equivalent experience; Azure … Data Engineer, Databricks or data governance certifications are a plus.**What we offer**You bring your skills and experience to Shell and in return you work with talented, committed people on one of the most important challenges facing our planet. You’ll have the opportunity to develop the skills ...

pricing and commercial performance data. Enable measurement of realised price uplift, pricing adoption, discount effectiveness, and commercial outcomes. Design scalable pricing analytics within the Databricks and BI environment. Develop governance and reporting frameworks supporting and executive decision-making. What we’re looking for: Must have skills and experience : 5+ years … Commercial Analytics Data Architecture Data Analysis Business Intelligence Experience designing enterprise-scale data models. Advanced expertise with SQL or similar technologies. Strong experience with: Databricks Salesforce CPQ platforms B2B SaaS or adjacent-industry pricing experience. Experience building leadership dashboards and KPI frameworks. Ability to translate complex data into business recommendations. ...

Consulting Limited is seeking a Technology Architect with deep expertise in Databricks to lead data engineering and cloud transformation initiatives. The ideal candidate will have over 12 years of experience and will be responsible for defining scalable architectural solutions and guiding engineering teams. The role focuses on designing data platforms … using Databricks Lakehouse architecture and optimizing ETL pipelines. Ideal candidates are expected to evaluate technologies and implement best practices while ensuring data governance. This is a hybrid role with 3 days in the office per week. #J-18808-Ljbffr ...

JPMorgan Chase & Co. is seeking a Software Engineer II in the Payments Technology team to design, build, and operate scalable data pipelines on the Databricks Lakehouse. You will collaborate with data analysts, data scientists, and application teams to deliver trusted datasets and well-governed data products. Responsibilities include designing batch …/streaming pipelines with Databricks Spark, Delta Lake, and orchestrators; developing Spark jobs and SQL transformations; building data models and #J-18808-Ljbffr ...

Join Kainos and Shape the Future At Kainos, we’re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we’re transforming digital services for millions, delivering cutting-edge ...

As an ML (Machine Learning) Engineer at Checkout.com in the Disputes ML team, you will contribute to the development of our brand‐new ML‐driven dispute optimisation suite. This is a unique opportunity to get ...

hackajob is partnering directly with Kainos to hire for this role. Join Kainos and Shape the Future At Kainos, we're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. ...

Associates is seeking a Senior SC Cleared Data Engineer with extensive Azure Databricks experience to join a UK Central Government data team responsible for designing and developing high-volume datasets and robust data pipelines. You will work with Spark-based technologies, build, automate and operate data pipelines, and apply ...

Citi Belfast is seeking an experienced Data Engineering Lead to drive cloud-native data services and Databricks adoption. You will lead Spark/Scala implementations, AI-enabled analytics, and scalable data platforms on AWS, aligning with enterprise standards and governance. You will mentor engineers, coordinate with senior leaders, and guide ...

DraftKings is looking for a Senior Data Platform Engineer to enhance our data capabilities. In this role, you will own and operate the Databricks infrastructure, ensuring its performance and reliability. You’ll build cloud infrastructure with AWS and Terraform while leading engineering projects from design to implementation. The ideal candidate ...

GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications … Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting‐edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production-level ML and AI workloads, including ...

Databricks is seeking a Forward Deployed Engineer to work with customers to design, build and productionize data and AI solutions on the Databricks platform. You will own the architecture and deliver end-to-end systems across data engineering, ML/AI, and application development. This hands-on, customer-facing role ...

Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production‐grade ML and AI applications … Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting‐edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production‐level ML and AI workloads, including ...

work with modern AI technologies and help influence how they’re adopted across the wider business. You'll be working with technologies including Azure Databricks, Azure Machine Learning, Azure AI Foundry, LangChain, LangGraph and Python, building enterprise AI applications using RAG, vector databases, prompt orchestration and tool‐calling patterns. … need experience with: Deploying LLMs and machine learning models into Azure enterprise environments. Azure Databricks, Azure Machine Learning and ideally Azure AI Foundry. Building production AI applications using LangChain, LangGraph and Python. MLOps/LLMOps including deployment, monitoring, governance and lifecycle management. RAG, vector databases, prompt engineering and tool‐calling ...

numbers right. You'll be: Designing and building the dashboards that leadership actually relies on Working directly with stakeholders Pulling data together from Databricks and other cloud sources into reliable pipelines Spotting trends and flagging what matters before anyone has to ask Partnering with data engineering to keep everything joined … gaps and pushing for better data at the source To Be Considered: Solid hands-on Power BI experience - building, not just consuming Comfortable with Databricks or similar cloud platforms (Synapse, Snowflake, that world) Strong SQL A good handle on data modelling and getting dashboards to actually perform Confidence presenting insights ...

techniques using WTW Radar and Emblem. Query and engineer large datasets (e.g., Python/R/SQL/PySpark) on modern platforms (e.g., Azure Databricks). Create innovative data solutions and present actionable insights to stakeholders. Communicate results clearly to key decision-makers to influence pricing strategies. Advance the adoption … general insurance pricing with strong modelling skills. Proficiency in programming languages such as R, Python, PySpark, SAS, or SQL. Good knowledge of Azure Databricks and modern data technologies. Experience with WTW Radar software is preferred. A quantitative degree in Mathematics, Statistics, Engineering, Physics, Computer Science, or Actuarial Science. Excellent communication ...

that enable real‐time and batch data processing at scale. Responsibilities Drive platform capability improvements – continuously enhance distributed data platforms using knowledge of Spark, Databricks, Kafka, Pulsar, Cassandra, and object stores to maintain best‐in‐class capabilities. Enable application data consumption – understand how applications produce and consume data, designing solutions … read/write patterns, scalability, and performance. Deliver cloud‐native data solutions – architect and implement data platforms on AWS leveraging cloud native services, Databricks, object stores (S3), and distributed compute frameworks. Provide technical leadership and mentoring – mentor engineers and architects on distributed data platform patterns, helping teams deliver robust solutions ...